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Data Engineer (Founding Team)

AI-native platform company building enterprise data infrastructure, backed by 8VC
Data
Senior Software Engineer
In-Person
1 - 10 Employees
5+ years of experience
AI · Enterprise SaaS
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Job Description

Fabrion, backed by 8VC, is building a cutting-edge multi-tenant, AI-native platform that transforms enterprise data into actionable insights through semantic enrichment and intelligent agents. At the core of their architecture is the Data Fabric - an intelligent, governed layer that converts fragmented data into a connected ontology for model training and vector search.

The Data Engineer role is crucial in building the foundation for autonomous decision-making systems. You'll tackle complex data challenges at scale, working with unstructured data, schema drift, and multi-source joins. The position involves building backend systems, data pipelines, connector frameworks, and graph-based knowledge models that power agentic applications.

The ideal candidate brings 5+ years of experience in large-scale data infrastructure, with expertise in data ingestion frameworks, unstructured data processing, and knowledge graphs. You'll work with technologies like Kafka, Neo4j, and various lakehouse formats, while implementing robust data governance mechanisms.

This is a founding team opportunity that offers competitive compensation including early-stage equity. Located in the San Francisco Bay Area, you'll be part of a world-class team solving critical infrastructure problems in the AI and enterprise data space. The role combines technical depth with strategic impact, as you'll be building the semantic, governed foundation that makes autonomous decision-making possible across various enterprise data sources.

Last updated 2 months ago

Responsibilities For Data Engineer (Founding Team)

  • Build highly reliable, scalable data ingestion and transformation pipelines
  • Develop and maintain a connector framework for enterprise systems
  • Design and maintain the data fabric layer including knowledge graph
  • Normalize and vectorize data for downstream AI/LLM workflows
  • Create and manage data contracts, access layers, lineage, and governance
  • Build and expose secure APIs for downstream services
  • Collaborate with ML/LLM teams for model training and tuning pipelines

Requirements For Data Engineer (Founding Team)

Kafka
MongoDB
  • 5+ years building large-scale data infrastructure in production
  • Deep experience with ingestion frameworks and data pipeline orchestration
  • Experience with unstructured data processing
  • Experience with columnar stores and lakehouse formats
  • Strong background in knowledge graphs or semantic modeling
  • Familiarity with GraphQL and RESTful APIs
  • Experience implementing data governance

Benefits For Data Engineer (Founding Team)

Equity
  • Competitive salary
  • Early-stage equity